2017 KLEIN LECTURE: THE SCIENCE OF USING SCIENCE: TOWARD AN UNDERSTANDING OF THE THREATS TO SCALABILITY

Policymakers are increasingly facing the challenge of scaling empirical insights. This study provides a theoretical lens into the science of how to use science. Through a simple model, we highlight three elements of the scale-up problem: (1) when does evidence become actionable; (2) properties of the population; and (3) properties of the situation. Until these three areas are fully understood, the threats to scalability will render any scaling exercise as particularly vulnerable. Accordingly, our work represents a call for more policy-based evidence, whereby the nature and extent of the various threats to scalability are explored in the original research program.     

A Different Perspective on the Evolution of UK Income Inequality

This paper scrutinizes the conventional wisdom about trends in UK income inequality and also places contemporary inequality in a much longer historical perspective. We combine household survey and income tax data to provide better coverage of all income ranges from the bottom to the very top (and make our estimates available to other researchers). We make a case for studying distributions of income between tax units (i.e. not assuming the full income sharing that goes with the use of the household as the unit of analysis) for reasons of principle as well as data harmonization. We present evidence that income inequality in the UK is as least as high today as it was just before the start of World War 2.     

Risk aversion and framing effects

We present a new experimental evidence of how framing affects decisions in the context of a lottery choice experiment for measuring risk aversion. We investigate framing effects by replicating the Holt and Laury’s (Am. Econ. Rev. 92:1644–1655, 2002) procedure for measuring risk aversion under various frames. We first examine treatments where participants are confronted with the 10 decisions to be made either simultaneously or sequentially. The second treatment variable is the order of appearance of the ten lottery pairs. Probabilities of winning are ranked either in increasing, decreasing, or in random order. Lastly, payoffs were increased by a factor of ten in additional treatments. The rate of inconsistencies was significantly higher in sequential than in simultaneous treatment, in increasing and random than in decreasing treatment. Both experience and salient incentives induce a dramatic decrease in inconsistent behaviors. On the other hand, risk aversion was significantly higher in sequential than in simultaneous treatment, in decreasing and random than in increasing treatment, in high than in low payoff condition. These findings suggest that subjects use available information which has no value for normative theories, like throwing a glance at the whole connected set of pairwise choices before making each decision in a connected set of lottery pairs.     

Competition is (still) a tough weed: A review essay of Thomas Philippon’s The great reversal: How America gave up on free markets

The Review of Austrian Economics - In The Great Reversal, Philippon makes the case that competition in America has weakened during the past two decades. His book contributes to the rapidly...     

数字普惠金融对高技术制造业创新韧性的影响——基于系统GMM与门槛效应的检验

基于2011—2019年中国内地30个省份面板数据,运用系统GMM和门槛效应模型,检验数字普惠金融对高技术制造业创新韧性的影响以及消费升级和研发投入强度的门槛效应。结果表明,数字普惠金融及其覆盖广度、使用深度和数字化程度均对高技术制造业创新韧性具有显著正向影响;消费升级、研发投入强度分别在数字普惠金融对高技术制造业创新韧性的影响中表现出单一门槛效应和双重门槛效应。进一步的地区异质性研究发现,数字普惠金融仅对中西部地区高技术制造业创新韧性起到提升作用,消费升级在东部和中西部地区分别表现出双重门槛效应与单一门槛效应,研发投入强度在东部和中西部地区均表现出单一门槛效应。研究结果有助于丰富数字普惠金融应用于高技术制造业相关研究,为高技术制造业利用数字普惠金融提升创新韧性提供实践启示。     

Inventories,inflation dynamics and the New Keynesian Phillips curve

We introduce inventories into an otherwise standard New Keynesian model and study the implications for inflation dynamics. Inventory holdings are motivated as a means to generate sales for demand-constrained firms. We derive various representations of the New Keynesian Phillips curve with inventories and show that one of these specifications is observationally equivalent to the standard model with respect to the behavior of inflation when the model's cross-equation restrictions are imposed. However, the driving variable in the New Keynesian Phillips curve – real marginal cost – is unobservable and has to be proxied by, for instance, real unit labor cost. An alternative approach is to impute marginal cost by using the model's optimality conditions. We show that the stock–sales ratio is linked to marginal cost. We also estimate these various specifications of the New Keynesian Phillips curve using GMM. We find that the predictive power of the inventory-specification at best approaches that of the standard model, but does not improve upon it.     

A stochastic dominance approach to the measurement of discrimination

This note suggests a bridge between stochastic dominance (Rothschild and Stiglitz, 1970 [17], 1973 [18]), inequality measurement (Atkinson, 1970 [1]) and discrimination measurement (Gastwirth, 1975 [10]). Discrimination orderings are defined and illustrated through discrimination curves, in the same spirit as stochastic dominance analysis. The main result, which links the second order discrimination curve and the Gastwirth discrimination index, also generalizes the equivalence between Generalized Lorenz dominance and second order stochastic dominance.     

Patterns of expectations for emerging sustainable technologies

Innovation is characterized by uncertainties, high risks, large investments and late returns on investment which make it a complex process. This is particularly true for sustainable innovation where market forces alone cannot be relied upon to realize the desired transitions. Insight in the dynamics of such innovation processes is necessary in order to influence technological change toward a more sustainable direction. However, few instruments and indicators are available to assess the performance of emerging technological innovation systems. In this phase competition often takes place based on expectations rather than on technological performance. This paper therefore focuses on the expectation patterns of technological innovation systems in the exploratory phase through the analysis of the expectation dynamics of three emerging technologies in the field of sustainable mobility within the Netherlands: biofuels, hydrogen as a transport fuel and natural gas as a transport fuel. These technologies do not only compete with the current fossil-fuel based system but also with each other. We have collected over 5000 expectation events regarding these technologies for the period 2000–2008 and discuss the insights generated by the comparison of the observed expectation dynamics to theoretical patterns.     

Trends and cycles of the internet evolution and worldwide impacts

In this paper we present a quantitative analysis of the evolution of some Internet and ICT evolution indicators. It focuses on the number of Internet hosts, the Internet penetration index, the ICT development index and the software/protocols development. In addition, we analyzed the series of most impacting events building up the Internet along the last fifty years. These analyses were carried out using the multi-logistic procedure recently proposed by the authors. Our results for hosts counting, penetration index and software/protocols development are compatible with the onset of some radical changes in the Internet technology to be currently underway and we forecast new growth rate peaks to occur by 2015. The software/protocols were found to having been powered by bursts of creativity with periods of the order of the Kuznets and Kondratiev economic cycles. Similar conclusions were drawn from the series of main events building up the Internet. Despite the clear signs of worldwide improvement in the ICT infrastructure and usage between 2002 and 2007 obtained from the ICT development index, its cross-correlation with the human development index (HDI) revealed the presence of a group of countries whose improvements in the operational ICT index are disconnected from their corresponding HDI improvements.     

Firm Market Performance and Volatility in a National Real Estate Sector

We present empirical evidence using daily data for stock prices for 17 real estate companies traded in the Sao Paulo, Brazil stock exchange, from August 26, 2006 to March 31, 2010. We use the U.S. house price bubble, financial crisis and risk measures to instrument for momentums and reversals in the domestic real estate sector. We find evidence of conditional premium persistence and conditional volatility persistence in the market. We find that the conditional risk-return relationship in the sector is consistent with the prospect theory of risk attitudes in this period. Certain companies seem to be operating on a perceived potential industry return above the target, while most others are below the target, and the whole sector is below target on average.